Articles liés à Shale Analytics
Synopsis
This book describes the application of modern information technology to reservoir modeling and well management in shale. While covering Shale Analytics, it focuses on reservoir modeling and production management of shale plays, since conventional reservoir and production modeling techniques do not perform well in this environment. Topics covered include tools for analysis, predictive modeling and optimization of production from shale in the presence of massive multi-cluster, multi-stage hydraulic fractures. Given the fact that the physics of storage and fluid flow in shale are not well-understood and well-defined, Shale Analytics avoids making simplifying assumptions and concentrates on facts (Hard Data - Field Measurements) to reach conclusions. Also discussed are important insights into understanding completion practices and re-frac candidate selection and design. The flexibility and power of the technique is demonstrated in numerous real-world situations.
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À propos de l?auteur
Shahab D. Mohaghegh is the president and CEO of Intelligent Solutions, Inc. (ISI) and Professor of Petroleum and Natural Gas Engineering at West Virginia University. A pioneer in the application of Artificial Intelligence and Data Mining in the Exploration and Production industry, he holds B.S., MS, and PhD degrees in petroleum and natural gas engineering. He has authored more than 180 technical papers and carried out more than 50 projects with major international companies. He is a SPE Distinguished Lecturer and has been featured in the Distinguished Author Series of SPE's Journal of Petroleum Technology (JPT) four times. He has been honored by the U.S. Secretary of Energy for his technical contribution in the aftermath of the Deepwater Horizon (Macondo) incident in the Gulf of Mexico and has served as a member of U.S. Secretary of Energy's Technical Advisory Committee on Unconventional Resources.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
- ÉditeurSpringer
- Date d'édition2017
- ISBN 10 3319487515
- ISBN 13 9783319487519
- ReliureRelié
- Langueanglais
- Numéro d'édition1
- Nombre de pages304
- Coordonnées du fabricantnon disponible
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Shale Analytics. Data-Driven Analytics in Unconventional Resources
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Cham, Springer., 2017
ISBN 10 : 3319487515
ISBN 13 : 9783319487519
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xiv, 287 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch. N° de réf. du vendeur 1312MB
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Shale Analytics
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Springer International Publishing, 2017
ISBN 10 : 3319487515
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Describes the use of artificial neural networks and fuzzy sets in petroleum engineeringExplains data mining in petroleum engineeringDemonstrates the only data driven reservoir modeling and production engineering technique for unco. N° de réf. du vendeur 130882406
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Shale Analytics
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Springer, 2017
ISBN 10 : 3319487515
ISBN 13 : 9783319487519
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hardcover. Etat : Good. 1st ed. 2017. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes). N° de réf. du vendeur 002203741U
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Shale Analytics
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Springer, 2017
ISBN 10 : 3319487515
ISBN 13 : 9783319487519
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hardcover. Etat : Good. Textbook, May Have Highlights, Notes and/or Underlining, BOOK ONLY-NO ACCESS CODE, NO CD, Ships with Tracking. N° de réf. du vendeur SKU0590236
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Shale Analytics
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Shale Analytics : Data-Driven Analytics in Unconventional Resources
Edité par
Springer, 2017
ISBN 10 : 3319487515
ISBN 13 : 9783319487519
Ancien ou d'occasion
Couverture rigide
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
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Etat : good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers. N° de réf. du vendeur 28080946-5
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Shale Analytics : Data-Driven Analytics in Unconventional Resources
Edité par
Springer International Publishing, 2017
ISBN 10 : 3319487515
ISBN 13 : 9783319487519
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book describes the application of modern information technology to reservoir modeling and well management in shale. While coveringShale Analytics, it focuses on reservoir modeling and production management of shale plays, since conventional reservoir and production modeling techniques do not perform well in this environment. Topics covered include tools for analysis, predictive modeling and optimization of production from shale in the presence of massive multi-cluster, multi-stage hydraulic fractures. Given the fact that the physics of storage and fluid flow in shale are not well-understood and well-defined, Shale Analytics avoids making simplifying assumptions and concentrates on facts (Hard Data - Field Measurements) to reach conclusions. Also discussed are important insights into understanding completion practices and re-frac candidate selection and design.The flexibility and power of the technique is demonstrated in numerous real-world situations. N° de réf. du vendeur 9783319487519
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Shale Analytics
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Springer International Publishing Feb 2017, 2017
ISBN 10 : 3319487515
ISBN 13 : 9783319487519
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book describes the application of modern information technology to reservoir modeling and well management in shale. While coveringShale Analytics, it focuses on reservoir modeling and production management of shale plays, since conventional reservoir and production modeling techniques do not perform well in this environment. Topics covered include tools for analysis, predictive modeling and optimization of production from shale in the presence of massive multi-cluster, multi-stage hydraulic fractures. Given the fact that the physics of storage and fluid flow in shale are not well-understood and well-defined, Shale Analytics avoids making simplifying assumptions and concentrates on facts (Hard Data - Field Measurements) to reach conclusions. Also discussed are important insights into understanding completion practices and re-frac candidate selection and design.The flexibility and power of the technique is demonstrated in numerous real-world situations. 304 pp. Englisch. N° de réf. du vendeur 9783319487519
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Shale Analytics : Data-Driven Analytics in Unconventional Resources
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Shale Analytics
ISBN 10 : 3319487515
ISBN 13 : 9783319487519
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Buch. Etat : Neu. Neuware -This book describes the application of modern information technology to reservoir modeling and well management in shale. While covering Shale Analytics, it focuses on reservoir modeling and production management of shale plays, since conventional reservoir and production modeling techniques do not perform well in this environment. Topics covered include tools for analysis, predictive modeling and optimization of production from shale in the presence of massive multi-cluster, multi-stage hydraulic fractures. Given the fact that the physics of storage and fluid flow in shale are not well-understood and well-defined, Shale Analytics avoids making simplifying assumptions and concentrates on facts (Hard Data - Field Measurements) to reach conclusions. Also discussed are important insights into understanding completion practices and re-frac candidate selection and design. The flexibility and power of the technique is demonstrated in numerous real-world situations.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 304 pp. Englisch. N° de réf. du vendeur 9783319487519
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